## javascript – Rolling average over predictions

I am using a Deep Learning model I trained and want to improve its accuracy by implementing a rolling average prediction. I have already done it but want to improve it as I am making predictions on every 3 frames.

Input:
Each index represents a class and the respective prediction the model makes.
Order is not alphanumeric as its based on my folder structure during training

1st Index : Class 0

2nd Index : Class 10

3rd Index : class 5

``````(
0.9288286566734314,
0.008770409040153027,
0.062401000410318375,
)
``````

So the goal is to store the highest probability and its index at every frame. Based on the structure I mentioned above I add the probability to its class. Every time a new probability gets added I increase a counter. Once the counter reaches N, I find the class which has the most predictions, I sum the probabilities and return the average of it and the respective class it belongs to.

``````N = 5
Prediction {
"0": (0.9811,0.9924, 0.8763),
"5": (0.9023),
"10": (0.9232)
}
``````

Code in React(model is loaded on a mobile phone)

Rolling Prediction does the averaging of the predictions and is passed in the array of predictions mentioned in the input.

There are 2 helper functions to find the sum and to find the max value and max index in an array.

``````  const (allPredictions, setAllPredictions) = useState({
"0": (),
"5": (),
"10": ()
});
let queueSize = 0;
let total = 0;

const rollingPrediction = arr => {
const { max, maxIndex } = indexOfMax(arr);
const maxFixed = parseFloat(max.toFixed(2));
if (maxIndex === 0) {
allPredictions("0").push(maxFixed);
queueSize += 1;
} else if (maxIndex === 1) {
allPredictions("10").push(maxFixed);
queueSize += 1;
} else if (maxIndex === 2) {
allPredictions("5").push(maxFixed);
queueSize += 1;
}
console.log(`Queue : \${queueSize}`);
if (queueSize > 4) {
console.log("Queue Size Max");
const arr1 = allPredictions("0").length;
const arr2 = allPredictions("5").length;
const arr3 = allPredictions("10").length;

if (arr1 > arr2 && arr3) {
const sum = sumOfArray(allPredictions("0"));
const prob = sum / arr1;
console.log(`Awareness level 0 | Probability: \${prob}`);
} else if (arr2 > arr1 && arr3) {
const sum = sumOfArray(allPredictions("5"));
const prob = sum / arr2;
console.log(`Awareness level 5 | Probability: \${prob}`);
} else if (arr3 > arr2 && arr1) {
const sum = sumOfArray(allPredictions("10"));
const prob = sum / arr3;
console.log(`Awareness level 10 | Probability: \${prob}`);
} else {
console.log("No rolling prediction");
}
queueSize = 0;
allPredictions("0") = ();
allPredictions("5") = ();
allPredictions("10") = ();
}
};

const sumOfArray = arr => {
for(let i = 0; i < arr.length; i++){
total += arr(i);
}
};

const indexOfMax = arr => {
if (arr.length === 0) {
return -1;
}
let max = arr(0);
let maxIndex = 0;

for (let i = 0; i < arr.length; i++) {
if (arr(i) > max) {
max = arr(i);
maxIndex = i;
}
}
return {
max,
maxIndex
};
};

``````

## SQL Server-Is It possible ‘lock waits and timeouts high but average wait time does not’?

I use Windows Server 2008 Standard and SQL Server 2008 version.

I always thought that if the ‘Lock Waits’ number was high, the ‘Average Wait Time’ number would be high as well.
In addition, it is a situation that even lock timeouts occur.

However, this time Lock Waits was high, but Average Wait Time was not.
Is this possible? In what cases is this possible?

## seo – Average time on page shows

It sounds like when you moved to a GTM implementation some of your tracking was not transferred.

GA will only record a nonzero time on page if some tracked action happens after the pageview – another pageview, an event, a hit of some kind. It is the difference between the times of the two hits that tells it time on page and then session duration. Blog posts often are the only pageview of their session because people come in from a link, read the post, and then leave again.

Since the change in average time on page happened quickly at the time of the reimplementation, that is what I would look for: an event tracking a common user interaction on blog pages or firing at a certain scroll depth, which was set up in the previous implementation but is not in GTM.

## formulas – Google Sheet average a row from last 10 days to the current date

I am looking for a formula that would automatically average their own row on C3 to C10 based on the last past 10 days from the current day as seen on their right side.
The list doesn’t have the weekend because I only need the Monday-Friday work days in the formula.

I’ve been trying different formulas but the date formula knocks me out

The one I have only counts the last inserted data so it does not depend on the date and it’s not accurate for a more “recent” past 10-day data average.

``````=iferror((sum(INDIRECT(ADDRESS(row(),(max(filter(column(D3:3),len(D3:3)))))):indirect(ADDRESS(row(),(max(filter(column(D3:3),len(D3:3))))-9))))/10,"-0-")
``````

Here’s my trial with the layout

I feel that it is possible but I’m out of ideas. Hope someone can help with some solutions?

Thank you!

## seo – Average page on time shows

It sounds like when you moved to a GTM implementation some of your tracking was not transferred.

GA will only record a nonzero time on page if some tracked action happens after the pageview – another pageview, an event, a hit of some kind. It is the difference between the times of the two hits that tells it time on page and then session duration. Blog posts often are the only pageview of their session because people come in from a link, read the post, and then leave again.

Since the change in average time on page happened quickly at the time of the reimplementation, that is what I would look for: an event tracking a common user interaction on blog pages or firing at a certain scroll depth, which was set up in the previous implementation but is not in GTM.

## What Is Average Domain Authority?

What is average domain authority?

## probability – We draw real number from set non-negative and not lesser from \$12\$. What’s the average length of randomed number from \$0\$?

We draw real number from set non-negative and not lesser from $$12$$.

a) What’s the avarage length of randomed number from $$0$$?

b) What’s the standard deviation from that value?

c) What’s the name of distribution?

c)
Uniform distribution

a)
$$xin (0,12)$$

$$E(X) = frac{b+a}{2}= frac{12+0}{2}=6$$

So average length of randomed number from $$0$$ is $$6$$

b)
$$Var(X)=frac{(b-a)^{2}}{12}=12$$

so Standard devation = $$sqrt{12}$$

## With respect to differential privacy how to find the global sensitivity of queries like ‘maximum height’ ‘Average height’ etc

As much as I have understood,for any query f(x) , we need to take maximum of|f(x)-f(y)| over all neighbouring databases. please explain how to find global sensitivity of queries like average height or maximum height.

## dg.differential geometry – Average over spheres finite

Let $$X_1,…,X_N$$ be random variables that are iid with the uniform distribution over $$mathbb S^n.$$

I am curious how to see that $$f(X_1,..,X_N):=left(sum_{i=1}^N X_i right)^{-1}$$ has finite expectation, i.e.

$$int_{(mathbb S^n)^N} f(X_1,..,X_N) dS(X_1)cdots dS(X_N)

is finite, where $$dS$$ is the surface measure.

I know it is true by this answer here, which shows it for $$mathbb S^1$$ and gives even the asymptotic of the integral. So I believe that if it is true on $$mathbb S^1$$ it also has to be true on all other spheres, but I am looking for a more direct argument than in the above answer to see that this is indeed the case.

## air travel – Have airlines changed their fees to reduce the average number of layovers passengers have in response to the COVID-19 pandemic?

Airfares are known not to minimize the average number of legs passengers take. E.g., flying A -> B or A -> C can be more expensive than flying A -> C -> B.

In these times of pandemic, minimizing layovers/legs would help reduce the pandemic. Have airlines changed their fees to reduce the average number of layovers passengers have in response to the COVID-19 pandemic?